New! View global litigation for patent families

US9753972B2 - Searching based on user interest - Google Patents

Searching based on user interest Download PDF

Info

Publication number
US9753972B2
US9753972B2 US13827646 US201313827646A US9753972B2 US 9753972 B2 US9753972 B2 US 9753972B2 US 13827646 US13827646 US 13827646 US 201313827646 A US201313827646 A US 201313827646A US 9753972 B2 US9753972 B2 US 9753972B2
Authority
US
Grant status
Grant
Patent type
Prior art keywords
user
results
search
term
terms
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active, expires
Application number
US13827646
Other versions
US20130198160A1 (en )
Inventor
Lara Mehanna
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Facebook Inc
Original Assignee
Facebook Inc
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Grant date

Links

Images

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/30Information retrieval; Database structures therefor ; File system structures therefor
    • G06F17/30286Information retrieval; Database structures therefor ; File system structures therefor in structured data stores
    • G06F17/30386Retrieval requests
    • G06F17/30424Query processing
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/30Information retrieval; Database structures therefor ; File system structures therefor
    • G06F17/30011Document retrieval systems
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/30Information retrieval; Database structures therefor ; File system structures therefor
    • G06F17/30286Information retrieval; Database structures therefor ; File system structures therefor in structured data stores
    • G06F17/30386Retrieval requests
    • G06F17/30554Query result display and visualisation
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/30Information retrieval; Database structures therefor ; File system structures therefor
    • G06F17/30861Retrieval from the Internet, e.g. browsers
    • G06F17/30864Retrieval from the Internet, e.g. browsers by querying, e.g. search engines or meta-search engines, crawling techniques, push systems

Abstract

Information may be presented to a user by receiving a selection of one or more terms passively displayed in a document, loading the terms to a search configuration, generating first results responsive to a user's predicted interest as expressed in the search configuration, and enabling display of the first results.

Description

CROSS-REFERENCE TO RELATED APPLICATIONS

This application is a continuation of U.S. patent application Ser. No. 13/801,826, titled “Sourcing Terms into a Search Engine”, and filed Mar. 13, 2013, which is a continuation of U.S. patent application Ser. No. 13/099,214, titled “Sourcing Terms into a Search Engine”, and filed May 2, 2011, which is a continuation of U.S. patent application Ser. No. 11/420,042, titled “Sourcing Terms into a Search Engine”, filed May 24, 2006, now issued as U.S. Pat. No. 7,962,504, which claims priority to U.S. Provisional Application No. 60/684,522, titled “Sourcing Terms into a Search Engine”, and filed May 26, 2005. The contents of each of the aforementioned applications and patents are hereby incorporated by reference in their entirety.

This application is related to U.S. application Ser. No. 10/651,303, titled “Host-based Intelligent Results Related to a Character Stream” and filed Aug. 29, 2003; U.S. Provisional Application No. 60/426,806, titled “Software Enabling and Enhancing Communications and Functionality At A Client Computer” and filed Nov. 18, 2002; U.S. Provisional Application No. 60/427,944, titled “Keyword and Search Navigation” and filed Nov. 21, 2002; U.S. Provisional Application No. 60/471,337, titled “Smart Box” and filed May 19, 2003; U.S. Provisional Application No. 60/471,338, titled “Smart Box” and filed May 19, 2003; and U.S. Provisional Application No. 60/488,400, titled “Smartbox”, and filed Jul. 21, 2003. Each of these applications is hereby incorporated by reference in their entirety.

TECHNICAL FIELD

This document relates to content retrieval and presentation.

BACKGROUND

The Internet enables users to access a great amount of information. A user with a web browser, messaging application, or other proprietary application may retrieve information from large libraries to access great amounts of information. Navigating the great amount of information can challenge some users.

SUMMARY

In a general aspect, information is presented to a user. Terms within a document are presented to visually distinguish selectable candidate search terms that are included within the document from other terms that are included within the document. Selection of one or more of the selectable candidate search terms from within the document is enabled. A query string that includes the selected candidate search terms is generated. The query string is applied to a search interface. Query results are received based on the applied query string. The query results are presented.

With respect to at least the general aspect, implementations may include one or more of the following features. For example, the arrangement of the document may be retained on a visual display when visually distinguishing selectable candidate search terms from other terms within the document and enabling selection of one or more of the selectable candidate search terms from within the document by detecting selection of a portion of the screen real estate dedicated to presenting the document and corresponding to the selected candidate search terms.

A query string that expressly excludes or disfavors candidate search terms selected from within the document may be generated. A query string that expressly includes or favors candidate search terms selected from within the document may be generated.

A compilation of candidate search terms may be generated from multiple documents. The query string may be revised as a user progresses through the multiple documents and selects the candidate search terms from at least two different documents in the multiple documents.

Resultant pages may be presented in association with the document so that the user may perceive an effect of selecting the candidate term on the query results.

A search control enabling a user to specify an input mode may be presented. An additive control may be presented and configured to add the selected candidate search terms to the search query in response to selecting a candidate search term in the document. A subtractive control may be presented and configured to add the selected candidate search terms to the search query as terms that should not appear in the query results.

The user may be enabled to continue to select one or more additional candidate search terms as the query results are being presented. The additional candidate search terms may be used to modify the query string. The modified query string may be applied to the search interface. Updated results may be received based on the applied query string. The updated results may be presented so that the user may perceive an effect of modifying the query string in differences between the query results and the updated results.

One or more topics responsive to the query string may be presented. The user may be enabled to modify the query string with inclusion or exclusion of at least one of the topics. The query string may be applied to the search interface. The query results may be received based on the applied query string. The query results may be presented so that the user may perceive an effect of modifying the query string based on modifying the query string with inclusion or exclusion of the at least one topic.

The user may be enabled to specify interest in a portion of the query results or interest in avoiding the portion of the query results and generating the first results responsive to the user specifying interest in the first results related to the selected candidate search terms or interest in avoiding the query results related to the selected candidate search terms.

Transparent to the user, the document may be automatically analyzed to generate contextual information. The contextual information may be used as the query string is applied to the search interface. Transparent to the user, non-selected terms appearing in the document related to the selected candidate search terms may be automatically accessed. The non-selected terms may be used as the query string is applied to the search interface.

User manipulation of the query results may be monitored. That the user investigated a portion of the query results may be determined. That the portion was not responsive may be determined. The query string may be modified to reflect that the portion was not responsive to a user's predicted interest.

The user may be prompted to confirm that that the portion was not responsive. That the portion was not responsive may be specified without confirmation from the user.

The query string may be maintained as the user changes the document. The user may be enabled to modify the query string with the candidate search terms after changing the document. The user may specify that query results associated with less viewership should be rendered before query results associated with more viewership.

DESCRIPTION OF DRAWINGS

FIGS. 1-8 are exemplary graphical user interfaces (GUIs) illustrating how real-time results related to a selected items within a source document may be presented.

FIG. 9 illustrates a communications system that may be used to intelligently present results related to a term stream analyzed by a host.

FIG. 10 is a flow chart of an exemplary process by which a client may use a host to intelligently present results related to a term stream.

FIG. 11 is a flow chart of an exemplary process by which a client may modify a search configuration through explicit and implicit instructions from the user.

DETAILED DESCRIPTION

The Internet enables access to large volumes of content. A key challenge in providing a better access experience for users is enabling the users to access information most relevant to their interests with the least amount of effort in retrieving the results.

To better provide a user with the ability to easily invoke a search for information most relevant to content they presently access, a user is presented with a collection of terms that appear within a document they presently view, arranged and presented for selection as search terms. Specifically, for example, one or more selectable search terms within a document being viewed is made identifiable and selectable, such that a query string that includes terms selected from within the arrangement may be easily generated through selection of those terms. The query string is applied to a search interface and query results may be received based on the applied query string. Finally, query results are presented.

For example, a user may elect to invoke a search tool within a web browser. Invoking the search tool may allow the user to select terms in order to add the terms to a search configuration. The addition of a search term to the search configuration may trigger an update to the results so that a user may dynamically add terms to a search configuration to observe the impact on search results. Additionally, the user also may be presented with a taxonomy of search results (e.g., topics) so that the user may modify the search configuration to include, avoid, favor, or disfavor specified topics from the search results. By enabling terms appearing in a source document or topics related to the source document to added or removed from a search configuration and automatically presenting results in response, a user may quickly navigate a large library with a reduced number of actions.

FIGS. 1-8 illustrate how a user may select one or more passive terms in a document in order to generate results responsive to a user's predicted interest. Generally, the GUIs shown in FIGS. 1-8 illustrate GUIs generated by a source application (e.g., a web browser) that displays a source document (e.g., a web page) and that are equipped with search controls. The search controls enable a user to select passive terms in the document in order to generate results responsive to a user's predicted interest. One example of passive terms are terms that have not necessarily been designated as hyperlinked terms, although the user also may select hyperlinked terms for use in generating a search query.

FIG. 1 illustrates an exemplary GUI 100 enabling a user to select terms in order to generate results responsive to a user's predicted interest. In particular, GUI 100 illustrates how a user may select terms appearing in a web page to generate search query. As shown, GUI 100 includes a document 105, search controls 110, search configuration 120, and resultant topics 130 that are rendered in a web browser along side a source web page (espn.com/sandiegopadres) directed to coverage of a baseball team. The search controls 110 include check boxes that allow selected words and/or phrases to be added or “subtracted” from a search configuration. A term is “subtracted” in that the search query is configured to retrieve search results that avoid, disfavor, or do not include the “subtracted” term.

Search controls 110 include a form enabling the user to enter additional terms to be used in the query string. For example, if the user believes that the addition of a particular term that does not appear in the source document may realize the desired results, and therefore may use the search controls 110 to effect additions of such terms to the query string.

Search configuration 120 illustrates that a query string has been configured to search for terms related to “Wells” and “Padres”—the terms that have been selected from within the source document. In one implementation, the user selects terms by using a mouse button to select words or phrases (e.g., by right clicking on terms appearing in a web page). In another implementation, the user selects the terms by using a scrolling control to advance through terms appearing in the document and/or using a touch screen to identify the selected terms.

In one implementation, selecting a term triggers a display for related metadata (not shown). The user then may select one or more terms in the metadata to further modify the query string. For example, after selecting “Wells”, the search configuration 120 may add a control displaying “Yankees” and “No Hitter” as metadata for “Wells.” The user may select one or more of the terms in the metadata to modify the search configuration. Alternatively, in another configuration, the terms “Yankees” and “No Hitter” are automatically added to the search configuration without triggering a display.

In yet another implementation, the user elect to exclude one or more terms in the metadata from the results. As a result, the user may select one of the terms in the metadata to add the selected term to the query string with in an indication that the query results should not include and/or be responsive to the selected term. For example, a user may select “Yankees” and indicate that the query results should not reflect any results related to “Wells” that also relates to the “Yankees.”

The resultant topic 130 presents a list of topics related to the present search configuration. For example, a user may elect to see the taxonomy/classification of results available. The user then may select topics in order to retrieve results likely to be more responsive to a user's interest.

As the user interacts with the displayed source document(s) and selects a sequence of terms to generate a query string from within the source document, the search configuration 120 and the resultant topics 130 may be updated to reflect the user's selections. Thus, when a user selects a word or phrase for subtraction, the subtracted term may be rendered in the search configuration 120, and the resultant topics 130 may be updated to reflect the subtracted term.

FIG. 2 illustrates another exemplary GUI 200 enabling a user to select terms in order to generate results responsive to a user's predicted interest. Also, GUI 200 illustrates how search results 230 may include a representation of a web page, representative text appearing in a web page, or a synopsis of a web page. As shown, GUI 200 includes document 205, search controls 210, search configuration 220, and resultant pages 230 that are rendered in a web browser alongside a source web page (espn.com/sandiegopadres) directed to coverage of a baseball team.

The document 205, search controls 210, and search configuration 220 are identical to the GUI 100 shown in FIG. 1. However, rather than a list of resultant topics, GUI 200 includes resultant pages 230 that illustrate a number of different manners in which resultant pages may be rendered. The first result rendered in resultant pages 230 is a thumbnail of a web page determined to be responsive to a user's predicted interest as indicated by the terms selected. The second result rendered in resultant pages 230 includes an address for a web page and an excerpt determined to be relevant to a user's interests. The third result includes an address for a web page and a synopsis of the web page.

The resultant pages 230 may be rendered so that the user may interact with the rendered results to modify the search configuration. For example, a user may subtract the first result from the search configuration, and add the second result to the search configuration. “Subtracting” a term may include configuring a search query such that the query results do not reflect or include the subtracted term. In one implementation, a user left clicks on a representation of the result to render the result in a different window while right clicking on the representation to modify search configuration with the selected representation. Modifying the search configuration with the selected representation may generate a list of metadata for the result and modifies the search configuration to include the metadata as appropriate. The metadata may be provided by the content owner or publisher, generated in advance by a search provider, and/or generated dynamically in response to user interaction with a representation of the result (either on a host or on the client).

FIG. 3 illustrates an exemplary GUI 300 enabling a user to select terms and resultant topics from a document 305 in order to generate results responsive to a user's predicted interest. In particular, GUI 300 illustrates how a search configuration and search results may include a representation both topics and the actual results themselves. For example, search configuration 320 includes both terms (“Wells” and “Padres”) and a topic (TOPIC1). Similarly, the results section 330 includes three subtopics (TOPICS 1.1, 1.2, and 1.3) and three results (PAGES 1-3). A user may interact with the topics and results to retrieve more responsive results.

In one implementation, manipulation of the search configuration and user interaction with the results is monitored so as to determine results and areas of subject matter that are not responsive to a user's interest. For example, if a user navigates a portion of topic taxonomy (e.g., TOPIC1.1 and TOPIC1.1's children) without accessing results related to the navigated portion, user disinterest in the navigated portion may be inferred. As a result, the search configuration may be monitored to reflect the user disinterest. In one implementation, the user disinterest is expressly confirmed and/or rendered. Thus, a user may be asked to confirm their disinterest in the navigated TOPIC (or metadata for the TOPIC) before adding the user disinterest in the navigated TOPIC. Alternatively, the user disinterest may be automatically added to the search configuration. The user disinterest may be expressly rendered in that the search configuration 320 would include terms and/or topics representative of the user disinterest. Alternatively, the user disinterest may be transparent so that the user need not manage a more complex search configuration. A transparent use of user disinterest may modify a user search profile to reflect the terms, topics, or metadata descriptive of the user disinterest. The user search profile then may be used by a search engine manipulating the data to return results responsive to the user search profile in addition to a particular search configuration.

FIG. 4 illustrates an exemplary GUI 400 enabling a user to select an adjacent sequence of terms (e.g., a phrase) from a document 405 in order to generate results responsive to a user's predicted interest. Generally, GUI 400 is similar to GUIs shown in FIGS. 1-3. However, GUI 400 illustrates that the search application may be configured to enable user input of a phrase. As shown, a user begins selecting at a first word (e.g., “San”) and continues selecting through a second word (“Diego”) onto a final word (“Padres”). For example, the user select a phrase by using a button on a mouse to select a first word, continue holding down the mouse as an icon is moved through additional words, and release the button after the mouse has been selected. Thus, as shown, “San Diego Padres” has been selected and is highlighted in the source document. Selecting “San Diego Padres” added the phrase “San Diego Padres” to the search configuration 420.

Although GUI 400 illustrates how phrases expressly selected may be used in a search configuration 420, other phrases or terms not expressly selected in the source document also may be used in a search configuration. For example, a particular word standing alone may have a diverse and inconsistent number of meanings. However, the word may be analyzed using context information for the selected word. In one example, the context includes neighboring words, that is, words adjacent to the selected word or term as it is used. In another example, the context includes prominent words appearing elsewhere in the source document, in varying degrees or even independent of the proximity of the prominent word to the selected words. For example, as shown in GUI 400, the term “MLB” appearing in the left column may be used as contextual information to distinguish baseball results from non-baseball results.

In one implementation, the contextual information is passively entered from the source document. For example, passively entering the contextual information may include using an application to automatically identify prominent words appearing in the source document. In contrast, the contextual information may be actively entered where a user is notified or prompted as to the inclusion or availability of contextual information. For example, the user may be notified that adding the terms “MLB” and “NL West” would lead or likely lead to more meaningful results. The user then may be prompted to use “MLB” and “NL West” to the search configuration.

FIG. 5 illustrates an exemplary GUI 500 enabling a user to select words from a document 505 that should not appear or be related to the search results. Generally, GUI 500 is similar to GUIs shown in FIGS. 1-4. However, GUI 500 illustrates that the search application may be configured to enable user input of terms that should not appear. As shown, a user has selected “San Diego Padres” for inclusion from the source document, and also selected that results related to “Cirillo” should not be included in the search results.

In one implementation, the negative limitations such as “Cirillo” are after the “Subtract Words” or “Subtract Phrases” is selected in Search Controls 510. In another limitation, the user may select a sequence of terms or phrases for negative limitations. In yet another implementation, a first control (e.g., a left mouse button) is used to add “positive” limitations to the search configuration while a second control (e.g., a right mouse button) is used add negative limitations to the search configuration. As the positive or negative limitations are added to the search configuration, the results may be automatically or periodically updated to reflect a particular search configuration.

FIG. 6 illustrates an exemplary GUI 600 enabling a user to preserve a search configuration generated from prior document as a subsequent document 605 is being presented. Generally, GUI 600 is similar to GUIs shown in FIGS. 1-5. However, GUI 600 illustrates that a search configuration generated on a previous source document, such as the source documents shown in FIGS. 1-4, may be preserved and used as a basis for searches with additional terms appearing in other source documents. As shown, terms from a prior configuration “Wells” and PADRES and TOPIC1 have been preserved while the web page acting as the source document has changed. Thus, by preserving all or part of a search configuration, a user may explore modifications to the search configuration based on terms appearing in other source documents that may be investigated.

FIG. 7 illustrates an exemplary GUI 700 enabling a user to specify a relative preference for terms that may be used to adjust the abrupt discontinuity resulting from use of Boolean searching. Generally, GUI 700 is similar to GUIs shown in FIGS. 1-6. However, GUI 600 illustrates that a search configuration may include buttons enabling a user to specify favoritism or “disfavoritism” for selected terms from a document 705. Generally, favoritism relates to a user designation that elevated or reduces the prominence of the favor/disfavored terms. As a result, results relating to favored terms may appear with a more relevant designation (e.g., by score) and/or are rendered before less relevant results while results relating to disfavored terms would be designated as being less relevant and/or less likely to be rendered compared to terms having more relevant results. Additionally, the favored/disfavored designation may be used so that results otherwise relevant would be returned when results do not relate to the favored/disfavored term. For example, a user may selectively invoke a favored/disfavored designation to observe the effect on results. Adding a term as a favored may increase the likelihood of less trafficked web site relating to an obscured favored term being identified while also identifying web sites otherwise deemed relevant. In contrast, using Boolean constraints (e.g., AND, OR, NOT) to require an obscure term may only identify those obscure web sites and not identify the web sites otherwise deemed relevant.

In one configuration, a favoring/disfavoring control adjusts a weighting factor for a search results. Favoring a term may add or positively adjust a score for a potential result. As a result, if query results are ranked by relevance, i.e., according to a score, potential results that reflect a favored term would appear earlier or more prominently as the query results are rendered, while a disfavored term would appear later or less prominently as the query results are being rendered.

In another configuration, a favoring/disfavoring control is used as limited filter such that potential results that include the favored term are automatically presented earlier or more prominently than potential results that do not include the favored term.

FIG. 8 illustrates an exemplary GUI 800 enabling a user to access a search configuration 820 and search results 830 in a display separate and distinct from the source document 805. In this manner, multiple source documents may be simultaneously accessed to modify the search configuration 820. Note that in GUI 800, a web page relating to Chicago sports is used as the source document. The search controls 810 enable a user to favor, disfavor, or require words appearing in the source document. As shown, the source document illustrates that “Guzman”, and “Cubs” have been selected. The search configuration 820 indicates that “Cubs” is required and “Guzman” is favored. Finally, the results portion 830 includes TOPIC1, TOPIC2, PAGE1, and PAGE2.

FIG. 9 shows a communications system 900 that enables intelligent presentation of results related to a term stream. Generally, a client 910 exchanges communications relating to a term stream with a host 930 using network 920. The host 930 analyzes the term stream to generate results related to the term stream using, for example, a database 940 (e.g., a yellow pages directory or a mapping system). The host 930 provides one or more results to the client 910, which in turn displays the results.

Generally, the client 910 includes a computing device that enables a user to exchange information over a communications network. The client 910 may include one or more devices capable of accessing content on the host 930. The client 910 also may include a controller (not shown) that processes instructions received from or generated by a software application, a program, a piece of code, a device, a computer, a computer system, or a combination thereof, which independently or collectively direct operations of the client 910. The instructions may be embodied permanently or temporarily in any type of machine, component, equipment, storage medium, or propagated signal that is capable of being delivered to the client 910 or that may reside with the controller at client 910. Client 910 may include a general-purpose computer (e.g., a personal computer (PC)) capable of responding to and executing instructions in a defined manner, a workstation, a notebook computer, a PDA (“Personal Digital Assistant”), a wireless phone, a component, other equipment, or some combination of these items that is capable of responding to and executing instructions.

In one implementation, the client 910 includes one or more information retrieval software applications (e.g., a browser, a mail application, an instant messaging client, an Internet service provider client, or an AOL TV or other integrated client) capable of receiving one or more data units. The information retrieval applications may run on a general-purpose operating system and a hardware platform that includes a general-purpose processor and specialized hardware for graphics, communications and/or other capabilities. In another implementation, client 910 may include a wireless telephone running a micro-browser application on a reduced operating system with general purpose and specialized hardware capable of operating in mobile environments.

The client 910 includes one or more term stream code segments that analyze a term stream input to an information retrieval application. The term stream code segment receives the term stream and structures the exchange of the term stream with other software applications on the client 910 and/or host 930. For example, the term stream code segment may wait initially wait until X initial terms are received before sending a transmission to the host 930. The term stream code segment then may send updates to the host every Y subsequent terms. Alternatively, the term stream code segment may include a delay feature set that transmits an update to the term stream if there are Z seconds of user inactivity. Thus, when X is 3 (“three”) terms, Y is 2 (“two”) terms, and Z is 1 (“one”) second, the term stream code segment for a user who selects in “Prior Cubs Wood Wrigley Dusty” would request results 1) after “Prior Cubs Wood” 2) after “Prior Cubs Wood Wrigley”, and “Prior Cubs Wood Wrigley Dusty”. In the same example, if the user selected “Prior” and paused for more than a second (when Z=1 second and the delay feature set is being used), the term stream code segment would send the “Prior” term to the host for analysis.

The client 910 may include a preliminary analysis code segment to analyze the term stream and send periodic updates. The preliminary analysis code segment screens the term stream to enhance the efficacy of the results generated for the term stream. In one example, the preliminary analysis code segment identifies one or more databases or segments likely to be associated with the predicted interest of a consumer. Thus, when “20005” is entered, the preliminary analysis code segment may instruct an instruction in the transmission to the host 930 to poll geographic information related to zip code 20005. Other examples may include the preliminary analysis code segment identifying a service industry (e.g., plumbers), a segment (e.g., online music), or a combination of factors (e.g., plumbers in zip code 20005) as relevant to the results that are sought by the user. With the preliminary factors identified, the transmission may be sent to an appropriate database, or a query may be modified as a result of performing the preliminary analysis.

In another example, the preliminary analysis code segment also may correlate information that has been learned about a user with the term stream. If the client is believed to be operating in a particular area (e.g., based on billing information for the user), the term stream can be modified to instruct the host 930 that results should be responsive to the user's address of record. Similarly, the preliminary analysis code segment may interface with a cache or user history to better identify results for the user. Thus, if a history of user activity indicates that the user is interested in National Football League sporting events, the preliminary analysis code segment may tailor results based on the relationship of the results to American Football rather than International Football (soccer). The preliminary analysis code segment also may retrieve and display locally stored results before the host 930 is accessed.

The client 910 may include a communications code segment that interfaces with the information retrieval code segment (e.g., browser or key word tool) to modify the term stream results to reflect the network environment of the client. For example, when the client 910 includes a wireless phone with limited bandwidth, the communications code segment may structure the communications exchange to limit the amount of data in results that are returned so as not to overwhelm the network 920. This may include filtering the results so that no more than a specified number of results are returned. Similarly, the format of the results may be modified to reduce the bandwidth of results. For example, results transmitted to the client 910 may have the graphics or images removed from the application.

The client may include a display code segment that tailors the results to a display device (e.g., a monitor or a LCD (“Liquid Crystal Display”)). The display code segment may manage the presentation of results so that only the most likely results are presented. The display code segment may interface with the host 930 so that the number of results does not overwhelm the memory or display capabilities of the client. In one example, the display code segment may instruct the host 930 to transmit no more than a specified number of results. In another example, the display code segment may instruct the host 930 to not return any result items larger than a specified size.

The client 910 may include one or more media applications. For example, the client 910 may include a software application that enables the client 910 to receive and display an audio or video data stream. The media applications may include controls that enable a user to configure the user's media environment. For example, if the media application is receiving an Internet radio station, the media application may include controls that enable the user to select an Internet radio station, for example, through the use of “preset” icons indicating the station genre (e.g., country) or a favorite.

The network 920 may include hardware and/or software capable of enabling direct or indirect communications between the client 910 and the host 930. As such, the network 920 may include a direct link between the client 910 and the host 930, or it may include one or more networks or subnetworks between them (not shown). Each network or subnetwork may include, for example, a wired or wireless data pathway capable of carrying and receiving data. Examples of networks include the Internet, the World Wide Web, a WAN (“Wide Area Network”), a LAN (“Local Area Network”), analog or digital wired and wireless telephone networks, radio, television, cable, satellite, and/or any other delivery mechanism for carrying data.

The host 930 is generally capable of executing instructions under the command of a host controller (not shown). The host 930 may include one or more hardware components and/or software components. An example of a host 930 is a general-purpose computer (e.g., a server or a mainframe computer) capable of responding to and executing instructions in a defined manner. Other examples include a special-purpose computer, a workstation, a PC, a device, a component, other physical or virtual equipment, or some combination thereof capable of responding to and executing instructions.

The controller is a software application loaded on the host 930 for commanding and directing communications exchanged with the client 910. Other examples include a program, a piece of code, an instruction, a device, a computer, a computer system, or a combination thereof, for independently or collectively instructing the client 910 or the host 930 to interact and operate as described. The host 930 may be embodied permanently or temporarily in any type of machine, component, physical or virtual equipment, storage medium, or propagated signal capable of providing instructions to the client 910 or the host 930.

The controller may include one or more information providing applications to support information retrieval requests sent from the client 910. The information providing applications may include a results code segment that receives a term stream from the client 910 and generates results responsive to a predicted interest by an individual user. Thus, the results code segment may generate one or more results based on the exchange of a term stream received from a client 910.

The results code segment also may receive term stream modifiers received from the preliminary analysis code segment, the communications code segment, the display code segment, and/or other code segments that modify a term stream transmission from the client. The results code segment may process the term stream in accordance with these modifiers. The host 930 also may operate code segments that perform operations similar to the feature sets in the preliminary analysis code segment, the communications code segment, and the display code segment. These host-oriented versions of these code segments may interface with the results code segment to modify the analysis performed and/or the results that are returned. For example, the host 930 may initially access a cache of content previously requested by the user. The previously-returned results may be analyzed for relevancy before additional analysis is performed or additional systems are polled.

The host 930 may interface with a database 940 to analyze the term stream. Generally, the database 940 includes storage for a volume of data and a processing engine that enables the data to be sorted, searched, and analyzed. The database may be organized along functional criteria. For example, a mapping database may be organized by geographical region, while a yellow pages database may be organized by business as well as geographic criteria. In one example, the database may be structured to perform a more detailed analysis on a term stream provided by a host 930. For example, a host 930 may receive a term stream from a client and redirect queries to one or more databases 940. Each of the redirected queries may be modified to further refine the redirected query. For example, a query redirected to a yellow pages directory may have the zip code added as a selection term. Similarly, a query directed to a database that provides stock quotes may include a reference describing which stocks are of interest to the user (e.g., stocks owned by the user).

Referring to FIG. 10, a flow chart 1000 illustrates how a client 1001 may use a host to intelligently present results related to a term stream. Generally, the systems in flow chart 1000 relate to the systems described in FIG. 9.

Initially, the client 1001 presents terms within a document and configures the presented terms as an arrangement of selectable terms (1010). For example, a client may load a web page. Identification of one or more terms within the arrangement of selectable search terms is enabled (1020). For example, a user may load a web page toolbar assistant that enables a user to select terms within the web page. The user may identify terms using a mouse or touch screen. For example, a user may select one or more terms appearing in a web page to add the terms to a search configuration.

The client 1001 generates a query string that includes terms from within the arrangement (1030). Although generating a query string (e.g., a search configuration) is shown as being performed on the client 1001, the search configuration also may be generated on the host 1002 and/or on a combination of the client 1001 and the host 1002. In one implementation, selecting a term automatically sends the selected term to a host 1002 for inclusion in a search configuration. In another example, the client 1001 generates a search configuration on the client 1001 and sends the search configuration and updated search configurations to the host 1002 as a result. In yet another example, an initial search configuration may be locally generated on the client 1001. The initial search configuration then may be transmitted to the host 1002 for analysis. The client 1001 then may receive results from the host 1002, and enable the user to interact with the results to modify the search configuration. In response to user modification, the client 1001 may analyze and display updated results responsive to the modification while the host 1002 in parallel receives an updated search configuration for additional processing and retrieval.

In any event, the host 1002 receives the query string (1030) and applies the query string to a search interface (1040). Typically, applying the query string includes the host 1002 analyzing the term stream. Analyzing the term stream may include relating the received term stream to one or more results that are responsive to a predicted interest by the user. In one example, the term stream may be compared with metadata labels used to describe content accessible to the host 1002. For example, when the term stream includes “Prior”, the host 1002 may anticipate that “Cubs” will eventually be entered and identify web pages that feature the Chicago Cubs in the web page and/or are summarized by metadata labels (e.g., “Chicago Cubs”). However, the host 1002 need not find identical term matches. For example, the host 1002 may predict that a user entering “Mark Prior” is predictive of an interest in baseball. Accordingly, when the host 1002 analyzes the results, the host 1002 may also identify results related to baseball, even if the results are not related to Mark Prior.

Analyzing the term stream may include ranking the relative relevancy of results. For example, widely visited baseball web sites (e.g., Major League Baseball's web site) may be scored as more relevant to a baseball fan than a web site that includes a Chicago resident's personal baseball web log (“blog”). The results may be generated in such a manner that the more relevant results are returned before the less relevant results.

With the term stream analyzed and the results identified, the host 1002 exchanges results with the client 1001. The results may be controlled so as to comply with the network or display constraints of the client. For example, if the network has limited bandwidth or the client has limited display capabilities, the host 1002 may structure the transmission to avoid network congestion or may modify the results so as provide more suitable results (e.g., by removing images from the results that are returned). As a result, the host 1002 provides the query results (1050) to the client 1001, which receives the query results (1060).

The client 1001 may perform additional processing to review the results to increase the efficacy of the display. For example, the client 1001 may relate the returned results to a user profile and tailor the results to be displayed accordingly. In another example, the client may analyze the results to better develop the user profile and interests to increase the efficacy of subsequent term stream operations. Regardless of whether the results undergo intermediary processing, the client 1001 presents the query results (1070). The query results are presented in a manner that enables the user to select one of the results to invoke an application or present a more complete form of the result. For example, as a user selects a term stream in a key word retrieval application, a dynamically updated window of results may appear in the key word retrieval application with one or more likely results. As the user continues to select terms to modify the search configuration, the results appearing in the search results window (or a pane in a window) may be tailored to reflect the latest analysis of the term stream. The client 1001 receives the user selection from the results (1080). Selection of a result causes the application to launch a code segment related to the selected result (1090). For example, when the user selects a result describing a map of an area, a web browser accessing a mapping web site may be launched to display a map related to the inputted term stream.

FIG. 11 shows a flow chart 1100 illustrating how a client 1101 may modify a search configuration through explicit and implicit instructions from the user. Generally, the operations shown in flow chart 1100 relate to update operations that are performed after an initial query has been performed and results responsive to the initial query have been generated (e.g., operation 1110). When perceiving the display, the client 1101 adds a favored term (1120). For example, the client 1101 may select an additional term and designate that results related to the additional term should be favored, that is, results related to the favored term should be rendered before results that do not relate to the favored term. The search configuration is modified to included the favored term and results responsive to the favored term are presented (1130). For example, the client 1101 may transmit an update to the host 1102 indicating that results from the previous search configuration should be analyzed for a relation to the favored term. Results relating to the favored term should thus appear as more relevant when an updated display is rendered.

The client 1101 then elects to investigate TOPIC1 but not select any results related to TOPIC 1 (1140). For example, the client 110 may select a topic that appears in a search results window (e.g., a user selects TOPIC1 in the resultant topics 130 shown in FIG. 1). Selecting the topic may render results related to the topic so that the user may better understand which content is related TOPIC1. After perceiving the results, the user may select a “Go Back” button or control that enables the user to return to a prior search configuration/results display, that is, a results display used before TOPIC1 was investigated. However, as a result of determining that user was able to perceive results related to TOPIC1 without selecting any of the results related to TOPIC1, user disinterest in TOPIC1 may be inferred. Thus, the search configuration and the results reflect a disinterest in TOPIC1 (1150).

The user then changes to a different source document (1160). For example, the user may select a hyperlink appearing in a web page. Even though the source document has changed, the search configuration has been preserved (1170). For example, the search configuration that appears in the right column of a web browser may continue to appear even though the user has selected a different web page.

Perceiving that the different source document may include information of use in retrieving results responsive to a user's predicted interest, an additional display is presented with suggested results responsive to the different source document (1180). In one implementation, a search tool in a web browser may prompt a user with a statement that “the present document includes information that may be used in generating more precise search results. Would you like to modify your search configuration using the present source document?” In response to user agreement, the search configuration may be modified to include metadata derived from the source document. In another implementation, the search configuration may be automatically updated after a first period of time (e.g., 30 seconds) to add metadata from the source document to the search configuration. In yet another implementation, a different search pane may be added in addition to an existing pane that uses a search configuration based on information from the different source document. The different search pane may be generated automatically or may be added in response to a user agreement to add a different search pane. The search configuration for the different pane may explicitly show metadata or terms from the different source document, or the metadata/terms may be transparent to the user.

Other implementations are in the scope of the following claims. For example, although the operations described examples of retrieving results that relate to terms or phrases appearing in one or more source documents, the results need not include the information that will ultimately be displayed upon launching a code segment. Rather, the results may include a label that describes the results that may be subsequently retrieved if accepted.

Similarly, the client and host applications may include assistants and spelling correction agents configured to work in conjunction with the underlying document and/or information separate from the source document that was inputted by the user (e.g., the user types in TERM in the ADDITIONAL TERMS field of search controls 110 in FIG. 1) in order to increase the efficacy of retrieved results. Assistants also may help the user by retrieving similar results related to the predicted character stream's meaning. For example, if the character stream includes “German automobiles,” results that include prominent manufacturers of German automobiles, including Mercedes, BMW, and Audi, may be retrieved. Spelling correction agents may recognize that the user has likely entered a typographical mistake. In response, the spelling correction agents may correct the term stream by altering the entered term stream on the desktop and/or by retrieving results related to the predicted entry.

Similar to the spelling correction agent, the system may include a validation agent that may be used to validate a URL (“Uniform Resource Locator”) entered in the term stream. For example, when the user enters the address for a web site, the web site address may be analyzed to determine if the device and file information actually exists and/or is correct. When the URL information is incorrect, the system may resolve the term stream to identify the correct or related URL address.

The client may be used to intelligently present results related to media communications such as streaming audio and video communications. For example, a content provider or a service provider may be distributing a large number of “channels” or bands of discrete presentations. A user may wish to survey the channels to find channels presenting information most relevant to the user's interests. Accordingly, the user may access a source document with one or more terms that the user selects to find content the user finds of interest. For audio content, the term stream may relate to an artist, album, or selection (e.g., song) name. For video content, the term stream may relate to a particular news affiliation (e.g., TIME or CNN), show, episode, or subject mater. In any event, regardless of the underlying content, the sequence of terms may be used to retrieve results related to the user's interests as expressed in the term stream. This may be performed by comparing the entered term stream with metadata or subtitles associated with a particular media selection. In one instance, the term stream may be compared with the subtitles for available programming to identify results for the user. Thus, when the user enters the name in a term stream of a newsmaker, the subtitles of all available programming (including on-demand and broadcast streams) may be searched to identify media streams featuring the newsmaker.

The systems and operations may be modified to operate in an Intranet or trusted environment. For example, rather than searching public databases, the system may be configured to incorporate security procedures and practices associated with a trusted environment. Thus, a sales employee may be allowed to access customer and marketing databases in analyzing the term stream. Engineering personnel may be allowed to review technical and operational support databases to support their mission, but may be precluded from analyzing the term stream using a sales database. Management and/or investigatory personnel may be allowed to access most or all databases in analyzing a term stream.

The results may be stored on the client and/or the host. For example, the host may cache previously returned results that may be used when analyzing subsequent term streams. In another example, previously selected results may be stored on the client and subsequent term streams may initially be accessed using the previously-stored results.

The client may enable the user application to launch a messaging code segment. Alternatively, the user may use a messaging application as a source document from which a term stream is generated. For example, the user may use an instant messaging application as a source document. User controls may enable user manipulation of the instant messaging application to transmit the term stream to a host for analysis. The client may receive the results and enable the client to access relevant results.

The search application may include an update code segment configured to provide additional search results based on newly entered terms and/or as results perceived to be more relevant become available. For example, a searching code segment may begin querying a host when a threshold of terms is entered and then query the host upon receiving updates with additional terms. Exchanging the updates may include exchanging only the portion of the term stream that has changed since the term stream was last exchanged. For example, as a user selects terms appearing in a first application, the first application may send a message to the host with the initially entered term stream (e.g., “Chicago”). As the user enters updates to the term stream (e.g., by selecting “Cubs”), the client may send the new information without sending the old information (e.g., the client subsequently sends “Cubs” instead of “Chicago”). Alternatively, the client may send the current term stream (e.g., sending “Chicago” and “Cubs”).

The client and/or host may determine that there are no relevant results and operate to preclude additional processing resources from being used. For example, the user may be entering term streams for which the host has no information and generates no results. When the host determines that there is no information, the host may interface with the client to prevent additional updates from being exchanged. Such a condition occurs when the user enters a term stream that does not relate to content accessible by the host. For example, the host may determine that TERMSTREAM1 will not yield any results, and no additional terms to the required terms in TERMSTREAM1 will yield any results. If the user enters additional terms, such as TERMSTREAM123, the first application may be configured to not send any updated information to the host. However, if the user removes terms from the term stream so that TERMSTREAM1 is changed to TERMSTREAM, the term stream may be exchanged.

The client may perform preliminary analysis to preclude common terms in the term stream from being analyzed where the common term stream generates results that are not responsive to the predicted interest of a user. For example, when “the” appears in a term stream, particularly in an initial portion of the term stream, generating results using the term stream “the” likely generates too many results, few, if any, of which are responsive to the predicted interest of the user. Accordingly, exchanging the term stream may be delayed until the term stream is meaningful. Thus, exchanging the term stream “the” may be delayed until term stream reads “the Greek islands” or another term stream likely to generate meaningful results. Similarly, the term stream may be restructured to remove strings in the term stream not likely to assist in the analysis (either on the client or the host). Thus, strings appearing in the term stream such as “the”, “a”, and “this” may be removed from the term stream prior to exchanging the term stream.

The results and additional information descriptive of results previously returned or selected may be stored on the client and/or the host. For example, the most recently accessed results may be cached on the client, while a more extensive history of results may be cached on the host. The stored results may be accessed and used to analyze and generate results responsive to a user's predictive interest.

To illustrate how stored results may be used to analyze a subsequent term stream, a previous search related to the National Football League (NFL) may generate a series of metadata tags. These metadata tags may be stored in a profile associated with the user. For example, the user searching for NFL-related information may have the metadata tags “NFL”, and “Football” added to their user profile. The metadata tags may be used in performing subsequent analysis. Thus, when the user types in “Falcons”, additional metadata tags related to the multiple meanings of “Falcons” may be generated and analyzed using the metadata tags previously generated. Examples of metadata tags related to Falcons may include terms such as “NFL”, “Audubon Society”, and “Sport of Kings”. The metadata tags from the previous search on the NFL may be compared against metadata tags generated by entering “Falcons”. By correlating the results from a previous search with known metadata tags for the term of interest, results that are likely to be more responsive to the predicted interest of a user are returned. In this case, correlating the results of the previous search with the present search generates results related to the NFL's Atlanta Falcons.

The results from multiple users may be used to determine results that are more responsive to a predictive interest of a different user. For example, if most of the users entering “Falcons” as a term stream are determined to be interested in the NFL, a default rule may be created and adopted that returns results related to the NFL sports team in response to “Falcons.” A finer analysis may be performed by suspending the default rule when the user has a profile or has expressed an interest in other, non-sports aspects of “falcons” or used modifiers such as “birds”, “Audubon Society”, or “kestrels”.

Other implementations are within the scope of the following claims.

Claims (20)

What is claimed is:
1. A method comprising:
receiving a first query that comprises a first term provided by a user;
performing, by at least one processor, a search using the query to identify a first plurality of search results;
determining, by the at least one processor, a plurality of topics based on content within the first plurality of search results;
providing, for display to the user, one or more selectable topics from the plurality of topics;
in response to detecting a selection by the user of a topic from the one or more selectable topics, providing, for display to the user, search results corresponding to at least the selected topic;
determining that the user accesses at least one search result from the search results corresponding to at least the selected topic;
modifying a user profile to reflect an inferred user interest in the selected topic based on the user accessing the at least one search result from the search results corresponding to at least the selected topic by storing a correlation between the accessed at least one search result and the selected topic in the user profile;
in response to receiving a second query comprising a second term provided by the user, the second query being different than the first query and the second term being different than the first term, accessing the user profile to identify the inferred user interest in the selected topic;
in response to identifying the inferred user interest in the selected topic, correlating the second term to the selected topic; and
providing, in response to the second query and based on the correlation of the second term to the selected topic, a second plurality of search results that reflect the inferred user interest in the selected topic.
2. The method of claim 1, wherein detecting the selection by the user of the topic from the one or more selectable topics comprises receiving an indication that the user favors or disfavors content related to the selected topic.
3. The method of claim 2, wherein receiving the indication that the user favors or disfavors the content comprises detecting a user selection of a button associated with favoring the content related to the selected topic.
4. The method of claim 2, wherein receiving the indication that the user favors or disfavors content comprises detecting a user selection of a button associated with disfavoring the content related to the selected topic.
5. The method of claim 1, wherein storing the correlation between the accessed at least one search result and the selected topic in the user profile comprises storing, in the user profile, a metadata tag for the inferred user interest in the selected topic.
6. The method of claim 1, wherein providing the second plurality of search results that reflect the inferred user interest in the selected topic comprises ranking the second plurality of search results based at least in part on a strength of association between each search result of the second plurality of search results and the selected topic according to the inferred user interest from the user profile.
7. The method of claim 1, further comprising:
identifying a first topic based on an analysis of content within a first result of the first plurality of results; and
identifying a second topic based on an analysis of content within a second result of the first plurality of results.
8. The method of claim 7, wherein determining the plurality of topics comprises compiling the first topic based on the analysis of content within the first result of the first plurality of results with the second topic based on the analysis of content within the second result of the first plurality of results.
9. A non-transitory computer readable storage media storing instructions thereon that, when executed by a processor, cause a computer system to:
receive a first query that comprises a first term provided by a user;
perform, by at least one processor, a search using the first query to identify a first plurality of search results;
determine a plurality of topics based on the query;
provide, for display to the user, one or more selectable topics from the plurality of topics;
in response to detecting a selection by the user of a topic from the one or more selectable topics, provide, for display to the user, search results corresponding to at least the selected topic;
determine that the user accesses at least one search result from the search results corresponding to at least the selected topic;
modify a user profile to reflect an inferred user interest in the selected topic based on the user accessing the at least one search result from the search results corresponding to at least the selected topic by storing a correlation between the accessed at least one search result and the selected topic in the user profile;
in response to receiving a second query comprising a second term provided by the user, the second query being different than the first query and the second term being different than the first term, access the user profile to identify the inferred user interest in the selected topic;
in response to identifying the inferred user interest in the selected topic, correlating the second term to the selected topic; and
provide, in response to the second query and based on the correlation of the second term to the selected topic, a second plurality of search results that reflect the inferred user interest in the selected topic.
10. The non-transitory computer readable storage media of claim 9, wherein modifying the user profile to reflect the inferred user interest comprises:
maintaining the user profile, wherein the user profile comprises information indicating one or more previously inferred user interests; and
updating, based on the user accessing the at least one search result corresponding to the selected topic, the user profile with information indicating the inferred user interest in the selected topic.
11. The non-transitory computer readable storage media of claim 10, wherein maintaining the user profile further comprises maintaining information indicating a user disinterest in one or more topics.
12. The non-transitory computer readable storage media of claim 11, wherein the information indicating the determined user interest and the information indicating the user disinterest comprise terms, topics, or metadata that is descriptive of the inferred user interest and the user disinterest, respectively.
13. The non-transitory computer readable storage media of claim 12, wherein updating the user profile comprises adding at least one of an additional term, an additional topic, or additional metadata to the user profile for the selected topic.
14. The non-transitory computer readable storage media of claim 13, wherein determining that the user accesses the at least one search result from the search results corresponding to at least the selected topic comprises receiving an indication of the user clicking on the at least one search result from the search results corresponding to at least the selected topic using a mouse button or the user selecting the at least one search result from the search results corresponding to at least the selected topic using a touch screen.
15. A system comprising:
at least one processor; and
at least one non-transitory computer readable storage medium storing instructions thereon that, when executed by at least one processor, cause the system to:
receive a first query that comprises a first term provided by a user;
perform a search using the first query to identify a first plurality of search results;
determine a plurality of topics based on content within the first plurality of search results;
provide, for display to the user, one or more selectable topics from the plurality of topics;
in response to detecting a selection by the user of a topic from the one or more selectable topics, provide, for display to the user, search results corresponding to at least the selected topic;
determine that the user accesses at least one search result from the search results corresponding to at least the selected topic;
modify a user profile to reflect an inferred user interest in the selected topic based on the user accessing the at least one search result from the search results corresponding to at least the selected topic by storing a correlation between the accessed at least one search result and the selected topic in the user profile;
in response to receiving a second query comprising a second user-provided term that is different than the first user-provided term, access the user profile to identify the inferred user interest in the selected topic;
in response to identifying the inferred user interest in the selected topic, correlate the second term to the selected topic; and
provide, in response to the second query and based on the correlation of the second term to the selected topic, a second plurality of search results that reflect the inferred user interest in the selected topic.
16. The system of claim 15, wherein the instructions, when executed by the at least one processor, cause the system to detect the selection by the user of the topic from the one or more selectable topics by receiving an indication that the user favors or disfavors content related to the selected topic.
17. The system of claim 16, wherein the instructions, when executed by the at least one processor, cause the system to receive the indication by the user that the user favors or disfavors content by further detecting a selection of a button associated with favoring the content related to the selected topic.
18. The system of claim 17, wherein the instructions, when executed by the at least one processor, cause the system to provide the second plurality of search results that reflect the inferred user interest in the selected topic comprises ranking the second plurality of search results based on a strength of association between each search result of the second plurality of search results and the selected topic according to the inferred user interest from the user profile.
19. The system of claim 17, further comprising instructions that, when executed by the at least one processor, further cause the system to identify a first topic based on an analysis of content within a first result of the first plurality of results.
20. The system of claim 19, further comprising instructions that, when executed by the at least one processor, further cause the system to identify a second topic based on an analysis of content within a second result of the first plurality of results.
US13827646 2005-05-26 2013-03-14 Searching based on user interest Active 2026-07-19 US9753972B2 (en)

Priority Applications (5)

Application Number Priority Date Filing Date Title
US68452205 true 2005-05-26 2005-05-26
US11420042 US7962504B1 (en) 2005-05-26 2006-05-24 Sourcing terms into a search engine
US13099214 US8874606B2 (en) 2005-05-26 2011-05-02 Sourcing terms into a search engine
US13801826 US20130191382A1 (en) 2005-05-26 2013-03-13 Sourcing terms into a search engine
US13827646 US9753972B2 (en) 2005-05-26 2013-03-14 Searching based on user interest

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
US13827646 US9753972B2 (en) 2005-05-26 2013-03-14 Searching based on user interest

Related Parent Applications (1)

Application Number Title Priority Date Filing Date
US13801826 Continuation US20130191382A1 (en) 2005-05-26 2013-03-13 Sourcing terms into a search engine

Publications (2)

Publication Number Publication Date
US20130198160A1 true US20130198160A1 (en) 2013-08-01
US9753972B2 true US9753972B2 (en) 2017-09-05

Family

ID=44121988

Family Applications (7)

Application Number Title Priority Date Filing Date
US11420042 Active 2026-09-06 US7962504B1 (en) 2005-05-26 2006-05-24 Sourcing terms into a search engine
US13099214 Active US8874606B2 (en) 2005-05-26 2011-05-02 Sourcing terms into a search engine
US13618920 Active US8996560B2 (en) 2005-05-26 2012-09-14 Search engine utilizing user navigated documents
US13801826 Abandoned US20130191382A1 (en) 2005-05-26 2013-03-13 Sourcing terms into a search engine
US13827553 Pending US20130204870A1 (en) 2005-05-26 2013-03-14 Sourcing terms into a search engine
US13827646 Active 2026-07-19 US9753972B2 (en) 2005-05-26 2013-03-14 Searching based on user interest
US14324746 Pending US20140324903A1 (en) 2005-05-26 2014-07-07 Sourcing terms into a search engine

Family Applications Before (5)

Application Number Title Priority Date Filing Date
US11420042 Active 2026-09-06 US7962504B1 (en) 2005-05-26 2006-05-24 Sourcing terms into a search engine
US13099214 Active US8874606B2 (en) 2005-05-26 2011-05-02 Sourcing terms into a search engine
US13618920 Active US8996560B2 (en) 2005-05-26 2012-09-14 Search engine utilizing user navigated documents
US13801826 Abandoned US20130191382A1 (en) 2005-05-26 2013-03-13 Sourcing terms into a search engine
US13827553 Pending US20130204870A1 (en) 2005-05-26 2013-03-14 Sourcing terms into a search engine

Family Applications After (1)

Application Number Title Priority Date Filing Date
US14324746 Pending US20140324903A1 (en) 2005-05-26 2014-07-07 Sourcing terms into a search engine

Country Status (1)

Country Link
US (7) US7962504B1 (en)

Families Citing this family (23)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2006065547A (en) * 2004-08-26 2006-03-09 Kyocera Corp Portable terminal, control method of computer, and program
US7962504B1 (en) 2005-05-26 2011-06-14 Aol Inc. Sourcing terms into a search engine
US20070244866A1 (en) * 2006-04-18 2007-10-18 Mainstream Advertising, Inc. System and method for responding to a search request
US8935269B2 (en) 2006-12-04 2015-01-13 Samsung Electronics Co., Ltd. Method and apparatus for contextual search and query refinement on consumer electronics devices
US8510453B2 (en) 2007-03-21 2013-08-13 Samsung Electronics Co., Ltd. Framework for correlating content on a local network with information on an external network
US8843467B2 (en) * 2007-05-15 2014-09-23 Samsung Electronics Co., Ltd. Method and system for providing relevant information to a user of a device in a local network
US20090063540A1 (en) * 2007-08-31 2009-03-05 Mattox John R Methods and systems for attaching ownership to data
US20090271388A1 (en) * 2008-04-23 2009-10-29 Yahoo! Inc. Annotations of third party content
US9183323B1 (en) 2008-06-27 2015-11-10 Google Inc. Suggesting alternative query phrases in query results
US8938465B2 (en) 2008-09-10 2015-01-20 Samsung Electronics Co., Ltd. Method and system for utilizing packaged content sources to identify and provide information based on contextual information
US20110145724A1 (en) * 2009-12-15 2011-06-16 Acer Incorporated Multi-Screen Electronic Device and Reference Material Display Method Thereof
US8849785B1 (en) 2010-01-15 2014-09-30 Google Inc. Search query reformulation using result term occurrence count
US8615510B2 (en) * 2010-09-01 2013-12-24 Yahoo! Inc. Quick applications for search
KR101741698B1 (en) * 2010-10-18 2017-05-31 삼성전자주식회사 Method for providing search service and display apparatus applying the same
US8553981B2 (en) 2011-05-17 2013-10-08 Microsoft Corporation Gesture-based visual search
US8798995B1 (en) * 2011-09-23 2014-08-05 Amazon Technologies, Inc. Key word determinations from voice data
US9092478B2 (en) * 2011-12-27 2015-07-28 Sap Se Managing business objects data sources
US8938475B2 (en) 2011-12-27 2015-01-20 Sap Se Managing business objects data sources
US9292622B2 (en) * 2012-12-27 2016-03-22 Google Inc. Systems and methods for providing search suggestions
US9449079B2 (en) * 2013-06-28 2016-09-20 Yandex Europe Ag Method of and system for displaying a plurality of user-selectable refinements to a search query
CN103617253B (en) * 2013-11-29 2018-01-30 百度在线网络技术(北京)有限公司 Search method, the client and the server
US20150310571A1 (en) * 2014-04-28 2015-10-29 Elwha Llc Methods, systems, and devices for machines and machine states that facilitate modification of documents based on various corpora
US9846836B2 (en) 2014-06-13 2017-12-19 Microsoft Technology Licensing, Llc Modeling interestingness with deep neural networks

Citations (139)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US4650927A (en) 1984-11-29 1987-03-17 International Business Machines Corporation Processor-assisted communication system using tone-generating telephones
US4817129A (en) 1987-03-05 1989-03-28 Telac Corp. Method of and means for accessing computerized data bases utilizing a touch-tone telephone instrument
JPH0486950A (en) 1990-07-31 1992-03-19 Ricoh Co Ltd Document retrieving method
JPH08123821A (en) 1994-10-27 1996-05-17 Ee I Sofuto Kk Data input device
US5592538A (en) 1993-03-10 1997-01-07 Momentum, Inc. Telecommunication device and method for interactive voice and data
JPH09247334A (en) 1996-03-12 1997-09-19 Sanyo Electric Co Ltd Facsimile equipment
US5749081A (en) 1995-04-06 1998-05-05 Firefly Network, Inc. System and method for recommending items to a user
US5799284A (en) 1996-03-13 1998-08-25 Roy E. Bourquin Software and hardware for publishing and viewing products and services for sale
US5835905A (en) 1997-04-09 1998-11-10 Xerox Corporation System for predicting documents relevant to focus documents by spreading activation through network representations of a linked collection of documents
US5845300A (en) 1996-06-05 1998-12-01 Microsoft Corporation Method and apparatus for suggesting completions for a partially entered data item based on previously-entered, associated data items
US5870744A (en) 1997-06-30 1999-02-09 Intel Corporation Virtual people networking
US5895454A (en) 1997-04-17 1999-04-20 Harrington; Juliette Integrated interface for vendor/product oriented internet websites
US5896321A (en) 1997-11-14 1999-04-20 Microsoft Corporation Text completion system for a miniature computer
US5913032A (en) 1994-04-04 1999-06-15 Inprise Corporation System and methods for automatically distributing a particular shared data object through electronic mail
JPH11161682A (en) 1997-09-29 1999-06-18 Toshiba Corp Device and method for retrieving information and recording medium
US5950193A (en) 1997-12-16 1999-09-07 Microsoft Corporation Interactive records and groups of records in an address book database
US5960429A (en) 1997-10-09 1999-09-28 International Business Machines Corporation Multiple reference hotlist for identifying frequently retrieved web pages
JPH11328194A (en) 1998-05-13 1999-11-30 Nippon Telegr & Teleph Corp <Ntt> Keyword retrieval method and device and storage medium storing keyword retrieval program
US5999932A (en) 1998-01-13 1999-12-07 Bright Light Technologies, Inc. System and method for filtering unsolicited electronic mail messages using data matching and heuristic processing
US6041311A (en) 1995-06-30 2000-03-21 Microsoft Corporation Method and apparatus for item recommendation using automated collaborative filtering
JP2000148795A (en) 1998-08-31 2000-05-30 Canon Inc Device and method for image retrieval and computer- readable memory
US6092049A (en) 1995-06-30 2000-07-18 Microsoft Corporation Method and apparatus for efficiently recommending items using automated collaborative filtering and feature-guided automated collaborative filtering
JP2000222424A (en) 1999-02-02 2000-08-11 Amr Media Quest Inc Information retrieving device and information management device
EP1054329A2 (en) 1999-05-19 2000-11-22 Sun Microsystems, Inc. Methods and apparatus for processing a document
US6157618A (en) 1999-01-26 2000-12-05 Microsoft Corporation Distributed internet user experience monitoring system
US6189026B1 (en) 1997-06-16 2001-02-13 Digital Equipment Corporation Technique for dynamically generating an address book in a distributed electronic mail system
US6208996B1 (en) 1997-11-05 2001-03-27 Microsoft Corporation Mobile device having notification database in which only those notifications that are to be presented in a limited predetermined time period
JP2001109752A (en) 1999-10-14 2001-04-20 Toshiba Corp Information retrieving method, information managing method and system
US6237092B1 (en) 1998-05-05 2001-05-22 International Business Machines Corp. Client-server system with central application management allowing an administrator to configure user and group contexts during application configuration without relaunching the application
US20010002469A1 (en) 1998-06-11 2001-05-31 Bates Cary Lee Apparatus, program products and methods utilizing intelligent contact management
KR20010048800A (en) 1999-11-29 2001-06-15 서평원 Web-Based Management Method Of Network Device Be Different In Version
US6260148B1 (en) 1997-04-04 2001-07-10 Microsoft Corporation Methods and systems for message forwarding and property notifications using electronic subscriptions
US6269369B1 (en) 1997-11-02 2001-07-31 Amazon.Com Holdings, Inc. Networked personal contact manager
US6292743B1 (en) 1999-01-06 2001-09-18 Infogation Corporation Mobile navigation system
US6301609B1 (en) 1999-07-07 2001-10-09 Lucent Technologies Inc. Assignable associate priorities for user-definable instant messaging buddy groups
WO2001080079A2 (en) 2000-04-18 2001-10-25 Amazon.Com, Inc. Search query autocompletion
US6327590B1 (en) 1999-05-05 2001-12-04 Xerox Corporation System and method for collaborative ranking of search results employing user and group profiles derived from document collection content analysis
JP2002007479A (en) 2000-06-22 2002-01-11 Ntt Communications Kk Retrieving information displaying method, information retrieving system, retrieving server and recording medium of program for the server
US6349299B1 (en) 1998-12-24 2002-02-19 International Business Machines Corporation System and method for storing electronic contact information into an electronic address book
US6360251B1 (en) 1997-07-01 2002-03-19 International Business Machines Corporation Methods, apparatus and computer program products for message processing control including selective display of user addresses associated with a group address
US20020049610A1 (en) 1999-02-12 2002-04-25 Gropper Robert L. Auto update utility for digital address books
US20020049751A1 (en) 2000-09-01 2002-04-25 Mei-Na Chen Managing contact information through a communication network
US20020049704A1 (en) 1998-08-04 2002-04-25 Vanderveldt Ingrid V. Method and system for dynamic data-mining and on-line communication of customized information
US20020052921A1 (en) 2000-06-27 2002-05-02 Andre Morkel Systems and methods for managing contact information
JP2002132832A (en) 1997-10-10 2002-05-10 Nec Corp Image search method and image search engine device
US20020059401A1 (en) 1997-11-14 2002-05-16 National Instruments Corporation Assembly of a graphical program for accessing data from a data source/target
US6392669B1 (en) 1998-08-10 2002-05-21 International Business Machines Corporation Schedule management system and method for displaying, managing, and changing a schedule and recording medium for storing the same
JP2002175301A (en) 2000-12-07 2002-06-21 Nippon Telegraph & Telephone East Corp Map information retrieving device and its method
US20020097856A1 (en) 2001-01-24 2002-07-25 Wullert John R. Method and apparatus for creating a presence monitoring contact list with dynamic membership
US6430604B1 (en) 1999-08-03 2002-08-06 International Business Machines Corporation Technique for enabling messaging systems to use alternative message delivery mechanisms
US20020116528A1 (en) 2001-02-16 2002-08-22 Microsoft Corporation Method for text entry in an electronic device
US20020123988A1 (en) 2001-03-02 2002-09-05 Google, Inc. Methods and apparatus for employing usage statistics in document retrieval
US6457044B1 (en) 1998-04-21 2002-09-24 Toshiba Tec Kabushiki Kaisha Electronic-mail system for transmitting and receiving image data utilizing management of compatability transmission modes and capability information of destination terminals
US20020138650A1 (en) 2000-03-31 2002-09-26 Hiroyuki Yamamoto Location reporting method and related mobile communication terminal
US6463471B1 (en) 1998-12-28 2002-10-08 Intel Corporation Method and system for validating and distributing network presence information for peers of interest
US6466918B1 (en) 1999-11-18 2002-10-15 Amazon. Com, Inc. System and method for exposing popular nodes within a browse tree
US20020163546A1 (en) 2001-05-07 2002-11-07 Vizible.Com Inc. Method of representing information on a three-dimensional user interface
US20020169748A1 (en) 2001-05-11 2002-11-14 Pavel Macholda Self-updating address book
WO2002093400A1 (en) 2001-05-11 2002-11-21 Wildseed, Ltd. Method and system for generating and sending a hot link associated with a user interface to a device
US20020184128A1 (en) 2001-01-11 2002-12-05 Matt Holtsinger System and method for providing music management and investment opportunities
US20020194166A1 (en) 2001-05-01 2002-12-19 Fowler Abraham Michael Mechanism to sift through search results using keywords from the results
US6505196B2 (en) 1999-02-23 2003-01-07 Clinical Focus, Inc. Method and apparatus for improving access to literature
US20030009385A1 (en) 2000-12-26 2003-01-09 Tucciarone Joel D. Electronic messaging system and method thereof
US6529903B2 (en) 2000-07-06 2003-03-04 Google, Inc. Methods and apparatus for using a modified index to provide search results in response to an ambiguous search query
US20030046097A1 (en) 2001-08-30 2003-03-06 Lasalle Ryan Matthew Transitive trust network
US20030054830A1 (en) 2001-09-04 2003-03-20 Zi Corporation Navigation system for mobile communication devices
US20030058478A1 (en) 2001-09-27 2003-03-27 Brother Kogyo Kabushiki Kaisha Communication apparatus provided with electronic address book
US6549937B1 (en) 1999-07-21 2003-04-15 Microsoft Corporation System and method for multi-protocol communication in a computer network
US6549933B1 (en) 1998-08-04 2003-04-15 International Business Machines Corporation Managing, accessing, and retrieving networked information using physical objects associated with the networked information
US6564264B1 (en) 1999-12-08 2003-05-13 At&T Corp. System, apparatus and method for automatic address updating of outgoing and incoming user messages in a communications network
US6567796B1 (en) 1999-03-23 2003-05-20 Microstrategy, Incorporated System and method for management of an automatic OLAP report broadcast system
US20030105682A1 (en) 1998-09-18 2003-06-05 Dicker Russell A. User interface and methods for recommending items to users
US20030105822A1 (en) 2001-12-05 2003-06-05 Ibm Corporation Apparatus and method for monitoring instant messaging accounts
US20030119561A1 (en) 2001-12-21 2003-06-26 Richard Hatch Electronic device
US6606657B1 (en) 1999-06-22 2003-08-12 Comverse, Ltd. System and method for processing and presenting internet usage information
US20030158860A1 (en) 2002-02-19 2003-08-21 Caughey David A. Method of automatically populating contact information fields for a new contact added to an electronic contact database
US6615237B1 (en) 2000-02-04 2003-09-02 Microsoft Corporation Automatic searching for data in a network
US20030172061A1 (en) 2002-03-01 2003-09-11 Krupin Paul Jeffrey Method and system for creating improved search queries
US20030177175A1 (en) 2001-04-26 2003-09-18 Worley Dale R. Method and system for display of web pages
US6643669B1 (en) 2000-03-14 2003-11-04 Telefonaktiebolaget Lm Ericsson (Publ) Method for optimization of synchronization between a client's database and a server database
US6647383B1 (en) 2000-09-01 2003-11-11 Lucent Technologies Inc. System and method for providing interactive dialogue and iterative search functions to find information
US20030217125A1 (en) * 2002-05-15 2003-11-20 Lucent Technologies, Inc. Intelligent end user gateway device
US20030220976A1 (en) 2002-05-21 2003-11-27 Bellsouth Intellectual Property Corporation Temporary contact alias system
US20030220946A1 (en) 2002-05-21 2003-11-27 Malik Dale W. Resource list management system
US6677968B1 (en) 1997-02-24 2004-01-13 America Online, Inc. User definable on-line co-user lists
US6687362B1 (en) 2000-02-11 2004-02-03 Hallmark Cards, Incorporated Automatic address book update system
US6691106B1 (en) 2000-05-23 2004-02-10 Intel Corporation Profile driven instant web portal
US20040030741A1 (en) 2001-04-02 2004-02-12 Wolton Richard Ernest Method and apparatus for search, visual navigation, analysis and retrieval of information from networks with remote notification and content delivery
US20040029572A1 (en) 2000-06-14 2004-02-12 Olivier Nerot Method and system for selecting on request one or several data sources available from a communication network
US6694353B2 (en) 2001-03-28 2004-02-17 Good Contacts.Com Method and system for automatically updating electronic mail address information within an electronic mail address database
US6701348B2 (en) 2000-12-22 2004-03-02 Goodcontacts.Com Method and system for automatically updating contact information within a contact database
US20040044536A1 (en) 2002-08-27 2004-03-04 International Business Machines Corporation Providing common contact discovery and management to electronic mail users
US20040044736A1 (en) 2002-08-27 2004-03-04 Austin-Lane Christopher Emery Cascaded delivery of an electronic communication
US6704727B1 (en) 2000-01-31 2004-03-09 Overture Services, Inc. Method and system for generating a set of search terms
US20040054646A1 (en) 2002-09-17 2004-03-18 Daniell W. Todd Address book for integrating email and instant messaging (IM)
US20040054736A1 (en) 2002-09-17 2004-03-18 Daniell W. Todd Object architecture for integration of email and instant messaging (IM)
US6711565B1 (en) 2001-06-18 2004-03-23 Siebel Systems, Inc. Method, apparatus, and system for previewing search results
US20040059708A1 (en) 2002-09-24 2004-03-25 Google, Inc. Methods and apparatus for serving relevant advertisements
US6714791B2 (en) 2001-02-23 2004-03-30 Danger, Inc. System, apparatus and method for location-based instant messaging
US6751603B1 (en) 2000-05-16 2004-06-15 Sun Microsystems, Inc. Autocomplete method and apparatus for data file selection
US20040133564A1 (en) 2002-09-03 2004-07-08 William Gross Methods and systems for search indexing
US20040148347A1 (en) 2002-11-18 2004-07-29 Barry Appelman Dynamic identification of other users to an online user
US20040204140A1 (en) 2002-03-28 2004-10-14 Nec Corporation Mobile terminal apparatus, and power control method and storage medium recording program therefor
US20040215793A1 (en) 2001-09-30 2004-10-28 Ryan Grant James Personal contact network
US20040236736A1 (en) 1999-12-10 2004-11-25 Whitman Ronald M. Selection of search phrases to suggest to users in view of actions performed by prior users
US6829607B1 (en) 2000-04-24 2004-12-07 Microsoft Corporation System and method for facilitating user input by automatically providing dynamically generated completion information
US20040267604A1 (en) 2003-06-05 2004-12-30 Gross John N. System & method for influencing recommender system
US6847960B1 (en) 1999-03-29 2005-01-25 Nec Corporation Document retrieval by information unit
US6848077B1 (en) 2000-07-13 2005-01-25 International Business Machines Corporation Dynamically creating hyperlinks to other web documents in received world wide web documents based on text terms in the received document defined as of interest to user
US6848542B2 (en) 2001-04-27 2005-02-01 Accenture Llp Method for passive mining of usage information in a location-based services system
US6853982B2 (en) 1998-09-18 2005-02-08 Amazon.Com, Inc. Content personalization based on actions performed during a current browsing session
US6853998B2 (en) 2001-02-07 2005-02-08 International Business Machines Corporation Customer self service subsystem for classifying user contexts
US6873982B1 (en) * 1999-07-16 2005-03-29 International Business Machines Corporation Ordering of database search results based on user feedback
US20050080780A1 (en) 2003-08-21 2005-04-14 Matthew Colledge System and method for processing a query
US6912564B1 (en) 2000-05-04 2005-06-28 America Online, Inc. System for instant messaging the sender and recipients of an e-mail message
US20050154716A1 (en) 2004-01-09 2005-07-14 Microsoft Corporation System and method for automated optimization of search result relevance
US20050222976A1 (en) 2004-03-31 2005-10-06 Karl Pfleger Query rewriting with entity detection
US6968332B1 (en) * 2000-05-25 2005-11-22 Microsoft Corporation Facility for highlighting documents accessed through search or browsing
US7007228B1 (en) 1999-07-29 2006-02-28 International Business Machines Corporation Encoding geographic coordinates in a fuzzy geographic address
US7007008B2 (en) 2000-08-08 2006-02-28 America Online, Inc. Category searching
US7031961B2 (en) 1999-05-05 2006-04-18 Google, Inc. System and method for searching and recommending objects from a categorically organized information repository
US7035865B2 (en) 2001-08-28 2006-04-25 International Business Machines Corporation Calendar-enhanced awareness for instant messaging systems and electronic status boards
US7058690B2 (en) 2001-05-11 2006-06-06 Kabushiki Kaisha Square Enix Method for registering user information to exchange message on network
US20060173818A1 (en) 2005-01-11 2006-08-03 Viktors Berstis Systems, methods, and media for utilizing electronic document usage information with search engines
US7089237B2 (en) 2001-01-26 2006-08-08 Google, Inc. Interface and system for providing persistent contextual relevance for commerce activities in a networked environment
US7096214B1 (en) 1999-12-15 2006-08-22 Google Inc. System and method for supporting editorial opinion in the ranking of search results
US20060259476A1 (en) 2002-03-01 2006-11-16 Inxight Software, Inc. System and Method for Retrieving and Organizing Information From Disparate Computer Network Information Services
US7146416B1 (en) 2000-09-01 2006-12-05 Yahoo! Inc. Web site activity monitoring system with tracking by categories and terms
US7152064B2 (en) * 2000-08-18 2006-12-19 Exalead Corporation Searching tool and process for unified search using categories and keywords
US7185059B2 (en) 2002-09-17 2007-02-27 Bellsouth Intellectual Property Corp Multi-system instant messaging (IM)
US7275215B2 (en) 2002-07-29 2007-09-25 Cerulean Studios, Llc System and method for managing contacts in an instant messaging environment
US7308439B2 (en) 2001-06-06 2007-12-11 Hyperthink Llc Methods and systems for user activated automated searching
US7310612B2 (en) * 2003-08-13 2007-12-18 Amazon.Com, Inc. Personalized selection and display of user-supplied content to enhance browsing of electronic catalogs
US7505964B2 (en) * 2003-09-12 2009-03-17 Google Inc. Methods and systems for improving a search ranking using related queries
US7599916B2 (en) 2005-04-20 2009-10-06 Microsoft Corporation System and method for personalized search
US7730054B1 (en) 2003-09-30 2010-06-01 Google Inc. Systems and methods for providing searchable prior history
US7962504B1 (en) 2005-05-26 2011-06-14 Aol Inc. Sourcing terms into a search engine
US8214361B1 (en) * 2008-09-30 2012-07-03 Google Inc. Organizing search results in a topic hierarchy
US8423565B2 (en) 2006-12-21 2013-04-16 Digital Doors, Inc. Information life cycle search engine and method

Family Cites Families (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6947930B2 (en) * 2003-03-21 2005-09-20 Overture Services, Inc. Systems and methods for interactive search query refinement

Patent Citations (153)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US4650927A (en) 1984-11-29 1987-03-17 International Business Machines Corporation Processor-assisted communication system using tone-generating telephones
US4817129A (en) 1987-03-05 1989-03-28 Telac Corp. Method of and means for accessing computerized data bases utilizing a touch-tone telephone instrument
JPH0486950A (en) 1990-07-31 1992-03-19 Ricoh Co Ltd Document retrieving method
US5592538A (en) 1993-03-10 1997-01-07 Momentum, Inc. Telecommunication device and method for interactive voice and data
US5913032A (en) 1994-04-04 1999-06-15 Inprise Corporation System and methods for automatically distributing a particular shared data object through electronic mail
JPH08123821A (en) 1994-10-27 1996-05-17 Ee I Sofuto Kk Data input device
US5749081A (en) 1995-04-06 1998-05-05 Firefly Network, Inc. System and method for recommending items to a user
US6092049A (en) 1995-06-30 2000-07-18 Microsoft Corporation Method and apparatus for efficiently recommending items using automated collaborative filtering and feature-guided automated collaborative filtering
US6041311A (en) 1995-06-30 2000-03-21 Microsoft Corporation Method and apparatus for item recommendation using automated collaborative filtering
JPH09247334A (en) 1996-03-12 1997-09-19 Sanyo Electric Co Ltd Facsimile equipment
US5799284A (en) 1996-03-13 1998-08-25 Roy E. Bourquin Software and hardware for publishing and viewing products and services for sale
US5845300A (en) 1996-06-05 1998-12-01 Microsoft Corporation Method and apparatus for suggesting completions for a partially entered data item based on previously-entered, associated data items
US6750881B1 (en) 1997-02-24 2004-06-15 America Online, Inc. User definable on-line co-user lists
US6677968B1 (en) 1997-02-24 2004-01-13 America Online, Inc. User definable on-line co-user lists
US6260148B1 (en) 1997-04-04 2001-07-10 Microsoft Corporation Methods and systems for message forwarding and property notifications using electronic subscriptions
US5835905A (en) 1997-04-09 1998-11-10 Xerox Corporation System for predicting documents relevant to focus documents by spreading activation through network representations of a linked collection of documents
US5895454A (en) 1997-04-17 1999-04-20 Harrington; Juliette Integrated interface for vendor/product oriented internet websites
US6189026B1 (en) 1997-06-16 2001-02-13 Digital Equipment Corporation Technique for dynamically generating an address book in a distributed electronic mail system
US5870744A (en) 1997-06-30 1999-02-09 Intel Corporation Virtual people networking
US6360251B1 (en) 1997-07-01 2002-03-19 International Business Machines Corporation Methods, apparatus and computer program products for message processing control including selective display of user addresses associated with a group address
JPH11161682A (en) 1997-09-29 1999-06-18 Toshiba Corp Device and method for retrieving information and recording medium
US5960429A (en) 1997-10-09 1999-09-28 International Business Machines Corporation Multiple reference hotlist for identifying frequently retrieved web pages
US6999959B1 (en) 1997-10-10 2006-02-14 Nec Laboratories America, Inc. Meta search engine
JP2002132832A (en) 1997-10-10 2002-05-10 Nec Corp Image search method and image search engine device
US6269369B1 (en) 1997-11-02 2001-07-31 Amazon.Com Holdings, Inc. Networked personal contact manager
US6208996B1 (en) 1997-11-05 2001-03-27 Microsoft Corporation Mobile device having notification database in which only those notifications that are to be presented in a limited predetermined time period
US20020059401A1 (en) 1997-11-14 2002-05-16 National Instruments Corporation Assembly of a graphical program for accessing data from a data source/target
US5896321A (en) 1997-11-14 1999-04-20 Microsoft Corporation Text completion system for a miniature computer
US5950193A (en) 1997-12-16 1999-09-07 Microsoft Corporation Interactive records and groups of records in an address book database
US5999932A (en) 1998-01-13 1999-12-07 Bright Light Technologies, Inc. System and method for filtering unsolicited electronic mail messages using data matching and heuristic processing
US6457044B1 (en) 1998-04-21 2002-09-24 Toshiba Tec Kabushiki Kaisha Electronic-mail system for transmitting and receiving image data utilizing management of compatability transmission modes and capability information of destination terminals
US6237092B1 (en) 1998-05-05 2001-05-22 International Business Machines Corp. Client-server system with central application management allowing an administrator to configure user and group contexts during application configuration without relaunching the application
JPH11328194A (en) 1998-05-13 1999-11-30 Nippon Telegr & Teleph Corp <Ntt> Keyword retrieval method and device and storage medium storing keyword retrieval program
US20010002469A1 (en) 1998-06-11 2001-05-31 Bates Cary Lee Apparatus, program products and methods utilizing intelligent contact management
US6247043B1 (en) 1998-06-11 2001-06-12 International Business Machines Corporation Apparatus, program products and methods utilizing intelligent contact management
US6549933B1 (en) 1998-08-04 2003-04-15 International Business Machines Corporation Managing, accessing, and retrieving networked information using physical objects associated with the networked information
US20020049704A1 (en) 1998-08-04 2002-04-25 Vanderveldt Ingrid V. Method and system for dynamic data-mining and on-line communication of customized information
US6392669B1 (en) 1998-08-10 2002-05-21 International Business Machines Corporation Schedule management system and method for displaying, managing, and changing a schedule and recording medium for storing the same
JP2000148795A (en) 1998-08-31 2000-05-30 Canon Inc Device and method for image retrieval and computer- readable memory
US20050102202A1 (en) 1998-09-18 2005-05-12 Linden Gregory D. Content personalization based on actions performed during browsing sessions
US20030105682A1 (en) 1998-09-18 2003-06-05 Dicker Russell A. User interface and methods for recommending items to users
US20050071251A1 (en) 1998-09-18 2005-03-31 Linden Gregory D. Data mining of user activity data to identify related items in an electronic catalog
US6853982B2 (en) 1998-09-18 2005-02-08 Amazon.Com, Inc. Content personalization based on actions performed during a current browsing session
US6912505B2 (en) 1998-09-18 2005-06-28 Amazon.Com, Inc. Use of product viewing histories of users to identify related products
US6349299B1 (en) 1998-12-24 2002-02-19 International Business Machines Corporation System and method for storing electronic contact information into an electronic address book
US6463471B1 (en) 1998-12-28 2002-10-08 Intel Corporation Method and system for validating and distributing network presence information for peers of interest
US6292743B1 (en) 1999-01-06 2001-09-18 Infogation Corporation Mobile navigation system
US6157618A (en) 1999-01-26 2000-12-05 Microsoft Corporation Distributed internet user experience monitoring system
JP2000222424A (en) 1999-02-02 2000-08-11 Amr Media Quest Inc Information retrieving device and information management device
US20020049610A1 (en) 1999-02-12 2002-04-25 Gropper Robert L. Auto update utility for digital address books
US6505196B2 (en) 1999-02-23 2003-01-07 Clinical Focus, Inc. Method and apparatus for improving access to literature
US6567796B1 (en) 1999-03-23 2003-05-20 Microstrategy, Incorporated System and method for management of an automatic OLAP report broadcast system
US6847960B1 (en) 1999-03-29 2005-01-25 Nec Corporation Document retrieval by information unit
US7031961B2 (en) 1999-05-05 2006-04-18 Google, Inc. System and method for searching and recommending objects from a categorically organized information repository
US6327590B1 (en) 1999-05-05 2001-12-04 Xerox Corporation System and method for collaborative ranking of search results employing user and group profiles derived from document collection content analysis
EP1054329A2 (en) 1999-05-19 2000-11-22 Sun Microsystems, Inc. Methods and apparatus for processing a document
US6606657B1 (en) 1999-06-22 2003-08-12 Comverse, Ltd. System and method for processing and presenting internet usage information
US6301609B1 (en) 1999-07-07 2001-10-09 Lucent Technologies Inc. Assignable associate priorities for user-definable instant messaging buddy groups
US6873982B1 (en) * 1999-07-16 2005-03-29 International Business Machines Corporation Ordering of database search results based on user feedback
US6549937B1 (en) 1999-07-21 2003-04-15 Microsoft Corporation System and method for multi-protocol communication in a computer network
US7007228B1 (en) 1999-07-29 2006-02-28 International Business Machines Corporation Encoding geographic coordinates in a fuzzy geographic address
US6430604B1 (en) 1999-08-03 2002-08-06 International Business Machines Corporation Technique for enabling messaging systems to use alternative message delivery mechanisms
JP2001109752A (en) 1999-10-14 2001-04-20 Toshiba Corp Information retrieving method, information managing method and system
US6466918B1 (en) 1999-11-18 2002-10-15 Amazon. Com, Inc. System and method for exposing popular nodes within a browse tree
KR20010048800A (en) 1999-11-29 2001-06-15 서평원 Web-Based Management Method Of Network Device Be Different In Version
US6564264B1 (en) 1999-12-08 2003-05-13 At&T Corp. System, apparatus and method for automatic address updating of outgoing and incoming user messages in a communications network
US20040236736A1 (en) 1999-12-10 2004-11-25 Whitman Ronald M. Selection of search phrases to suggest to users in view of actions performed by prior users
US7096214B1 (en) 1999-12-15 2006-08-22 Google Inc. System and method for supporting editorial opinion in the ranking of search results
US6704727B1 (en) 2000-01-31 2004-03-09 Overture Services, Inc. Method and system for generating a set of search terms
US6615237B1 (en) 2000-02-04 2003-09-02 Microsoft Corporation Automatic searching for data in a network
US6687362B1 (en) 2000-02-11 2004-02-03 Hallmark Cards, Incorporated Automatic address book update system
US6643669B1 (en) 2000-03-14 2003-11-04 Telefonaktiebolaget Lm Ericsson (Publ) Method for optimization of synchronization between a client's database and a server database
US20020138650A1 (en) 2000-03-31 2002-09-26 Hiroyuki Yamamoto Location reporting method and related mobile communication terminal
WO2001080079A2 (en) 2000-04-18 2001-10-25 Amazon.Com, Inc. Search query autocompletion
US6564213B1 (en) 2000-04-18 2003-05-13 Amazon.Com, Inc. Search query autocompletion
US6829607B1 (en) 2000-04-24 2004-12-07 Microsoft Corporation System and method for facilitating user input by automatically providing dynamically generated completion information
US6912564B1 (en) 2000-05-04 2005-06-28 America Online, Inc. System for instant messaging the sender and recipients of an e-mail message
US6751603B1 (en) 2000-05-16 2004-06-15 Sun Microsystems, Inc. Autocomplete method and apparatus for data file selection
US6691106B1 (en) 2000-05-23 2004-02-10 Intel Corporation Profile driven instant web portal
US6968332B1 (en) * 2000-05-25 2005-11-22 Microsoft Corporation Facility for highlighting documents accessed through search or browsing
US20040029572A1 (en) 2000-06-14 2004-02-12 Olivier Nerot Method and system for selecting on request one or several data sources available from a communication network
JP2002007479A (en) 2000-06-22 2002-01-11 Ntt Communications Kk Retrieving information displaying method, information retrieving system, retrieving server and recording medium of program for the server
US20020052921A1 (en) 2000-06-27 2002-05-02 Andre Morkel Systems and methods for managing contact information
US6529903B2 (en) 2000-07-06 2003-03-04 Google, Inc. Methods and apparatus for using a modified index to provide search results in response to an ambiguous search query
US6848077B1 (en) 2000-07-13 2005-01-25 International Business Machines Corporation Dynamically creating hyperlinks to other web documents in received world wide web documents based on text terms in the received document defined as of interest to user
US7007008B2 (en) 2000-08-08 2006-02-28 America Online, Inc. Category searching
US7152064B2 (en) * 2000-08-18 2006-12-19 Exalead Corporation Searching tool and process for unified search using categories and keywords
US20020049751A1 (en) 2000-09-01 2002-04-25 Mei-Na Chen Managing contact information through a communication network
US7146416B1 (en) 2000-09-01 2006-12-05 Yahoo! Inc. Web site activity monitoring system with tracking by categories and terms
US6647383B1 (en) 2000-09-01 2003-11-11 Lucent Technologies Inc. System and method for providing interactive dialogue and iterative search functions to find information
JP2002175301A (en) 2000-12-07 2002-06-21 Nippon Telegraph & Telephone East Corp Map information retrieving device and its method
US6701348B2 (en) 2000-12-22 2004-03-02 Goodcontacts.Com Method and system for automatically updating contact information within a contact database
US20030009385A1 (en) 2000-12-26 2003-01-09 Tucciarone Joel D. Electronic messaging system and method thereof
US20020184128A1 (en) 2001-01-11 2002-12-05 Matt Holtsinger System and method for providing music management and investment opportunities
US20020097856A1 (en) 2001-01-24 2002-07-25 Wullert John R. Method and apparatus for creating a presence monitoring contact list with dynamic membership
US7089237B2 (en) 2001-01-26 2006-08-08 Google, Inc. Interface and system for providing persistent contextual relevance for commerce activities in a networked environment
US6853998B2 (en) 2001-02-07 2005-02-08 International Business Machines Corporation Customer self service subsystem for classifying user contexts
US20020116528A1 (en) 2001-02-16 2002-08-22 Microsoft Corporation Method for text entry in an electronic device
US6714791B2 (en) 2001-02-23 2004-03-30 Danger, Inc. System, apparatus and method for location-based instant messaging
US20020123988A1 (en) 2001-03-02 2002-09-05 Google, Inc. Methods and apparatus for employing usage statistics in document retrieval
US6694353B2 (en) 2001-03-28 2004-02-17 Good Contacts.Com Method and system for automatically updating electronic mail address information within an electronic mail address database
US20040030741A1 (en) 2001-04-02 2004-02-12 Wolton Richard Ernest Method and apparatus for search, visual navigation, analysis and retrieval of information from networks with remote notification and content delivery
US20030177175A1 (en) 2001-04-26 2003-09-18 Worley Dale R. Method and system for display of web pages
US6848542B2 (en) 2001-04-27 2005-02-01 Accenture Llp Method for passive mining of usage information in a location-based services system
US20020194166A1 (en) 2001-05-01 2002-12-19 Fowler Abraham Michael Mechanism to sift through search results using keywords from the results
US20020163546A1 (en) 2001-05-07 2002-11-07 Vizible.Com Inc. Method of representing information on a three-dimensional user interface
WO2002093875A2 (en) 2001-05-11 2002-11-21 Wildseed, Ltd. Method and apparatus for associating a received command with a control for performing actions with a mobile telecommunication device
US20020169748A1 (en) 2001-05-11 2002-11-14 Pavel Macholda Self-updating address book
US7058690B2 (en) 2001-05-11 2006-06-06 Kabushiki Kaisha Square Enix Method for registering user information to exchange message on network
WO2002093400A1 (en) 2001-05-11 2002-11-21 Wildseed, Ltd. Method and system for generating and sending a hot link associated with a user interface to a device
US7308439B2 (en) 2001-06-06 2007-12-11 Hyperthink Llc Methods and systems for user activated automated searching
US6711565B1 (en) 2001-06-18 2004-03-23 Siebel Systems, Inc. Method, apparatus, and system for previewing search results
US7035865B2 (en) 2001-08-28 2006-04-25 International Business Machines Corporation Calendar-enhanced awareness for instant messaging systems and electronic status boards
US20030046097A1 (en) 2001-08-30 2003-03-06 Lasalle Ryan Matthew Transitive trust network
US20030054830A1 (en) 2001-09-04 2003-03-20 Zi Corporation Navigation system for mobile communication devices
US20030058478A1 (en) 2001-09-27 2003-03-27 Brother Kogyo Kabushiki Kaisha Communication apparatus provided with electronic address book
US20040215793A1 (en) 2001-09-30 2004-10-28 Ryan Grant James Personal contact network
US20030105822A1 (en) 2001-12-05 2003-06-05 Ibm Corporation Apparatus and method for monitoring instant messaging accounts
US20030119561A1 (en) 2001-12-21 2003-06-26 Richard Hatch Electronic device
US20030158860A1 (en) 2002-02-19 2003-08-21 Caughey David A. Method of automatically populating contact information fields for a new contact added to an electronic contact database
US20060259476A1 (en) 2002-03-01 2006-11-16 Inxight Software, Inc. System and Method for Retrieving and Organizing Information From Disparate Computer Network Information Services
US20030172061A1 (en) 2002-03-01 2003-09-11 Krupin Paul Jeffrey Method and system for creating improved search queries
US20040204140A1 (en) 2002-03-28 2004-10-14 Nec Corporation Mobile terminal apparatus, and power control method and storage medium recording program therefor
US20030217125A1 (en) * 2002-05-15 2003-11-20 Lucent Technologies, Inc. Intelligent end user gateway device
US20030220976A1 (en) 2002-05-21 2003-11-27 Bellsouth Intellectual Property Corporation Temporary contact alias system
US20030220946A1 (en) 2002-05-21 2003-11-27 Malik Dale W. Resource list management system
US7275215B2 (en) 2002-07-29 2007-09-25 Cerulean Studios, Llc System and method for managing contacts in an instant messaging environment
US20040044736A1 (en) 2002-08-27 2004-03-04 Austin-Lane Christopher Emery Cascaded delivery of an electronic communication
US20040044536A1 (en) 2002-08-27 2004-03-04 International Business Machines Corporation Providing common contact discovery and management to electronic mail users
US20040133564A1 (en) 2002-09-03 2004-07-08 William Gross Methods and systems for search indexing
US7370035B2 (en) 2002-09-03 2008-05-06 Idealab Methods and systems for search indexing
US20040143564A1 (en) 2002-09-03 2004-07-22 William Gross Methods and systems for Web-based incremental searches
US7424510B2 (en) 2002-09-03 2008-09-09 X1 Technologies, Inc. Methods and systems for Web-based incremental searches
US20040054646A1 (en) 2002-09-17 2004-03-18 Daniell W. Todd Address book for integrating email and instant messaging (IM)
US20040054736A1 (en) 2002-09-17 2004-03-18 Daniell W. Todd Object architecture for integration of email and instant messaging (IM)
US7185059B2 (en) 2002-09-17 2007-02-27 Bellsouth Intellectual Property Corp Multi-system instant messaging (IM)
US20040059708A1 (en) 2002-09-24 2004-03-25 Google, Inc. Methods and apparatus for serving relevant advertisements
US20040148347A1 (en) 2002-11-18 2004-07-29 Barry Appelman Dynamic identification of other users to an online user
US20040267604A1 (en) 2003-06-05 2004-12-30 Gross John N. System & method for influencing recommender system
US7310612B2 (en) * 2003-08-13 2007-12-18 Amazon.Com, Inc. Personalized selection and display of user-supplied content to enhance browsing of electronic catalogs
US20050080780A1 (en) 2003-08-21 2005-04-14 Matthew Colledge System and method for processing a query
US7505964B2 (en) * 2003-09-12 2009-03-17 Google Inc. Methods and systems for improving a search ranking using related queries
US7730054B1 (en) 2003-09-30 2010-06-01 Google Inc. Systems and methods for providing searchable prior history
US20050154716A1 (en) 2004-01-09 2005-07-14 Microsoft Corporation System and method for automated optimization of search result relevance
US20050222976A1 (en) 2004-03-31 2005-10-06 Karl Pfleger Query rewriting with entity detection
US20060173818A1 (en) 2005-01-11 2006-08-03 Viktors Berstis Systems, methods, and media for utilizing electronic document usage information with search engines
US7599916B2 (en) 2005-04-20 2009-10-06 Microsoft Corporation System and method for personalized search
US20130191382A1 (en) 2005-05-26 2013-07-25 Facebook, Inc. Sourcing terms into a search engine
US7962504B1 (en) 2005-05-26 2011-06-14 Aol Inc. Sourcing terms into a search engine
US20110208768A1 (en) 2005-05-26 2011-08-25 Aol Inc. Sourcing terms into a search engine
US20130073579A1 (en) 2005-05-26 2013-03-21 Lara Mehanna Sourcing terms into a search engine
US8423565B2 (en) 2006-12-21 2013-04-16 Digital Doors, Inc. Information life cycle search engine and method
US8214361B1 (en) * 2008-09-30 2012-07-03 Google Inc. Organizing search results in a topic hierarchy

Non-Patent Citations (60)

* Cited by examiner, † Cited by third party
Title
"Google Zeitgeist-Search patterns, trends, and surprises according to Google," Jan. 2003, 2 pages, (http://www.google.com/press/zeitgeist.html, visited Feb. 13, 2003).
"Index of/tarvizo/OldFiles/elisp/tnt-2.4," Jan. 25, 2007, http://web.mit.edu/tarvizo/OldFiles/elisp/tnt-2.4/, 9 pages.
Advisory Action in U.S. Appl. No. 10/715,213, mailed Jan. 11, 2008, 3 pages.
Advisory Action in U.S. Appl. No. 10/715,213, mailed Mar. 1, 2010, 3 pages.
Automated feature of Internet Explorer, www.geocities.com/technofundo/tech/web/ie-autocomplete.html, Feb. 18, 2004, 6 pages.
Bryan Pfaffenberger, Newscape Navigator Gold, AP Professional, 1997.
Cerulean Studios, "Trillian Pro: No Boundaries," (Overview, New Features, Tech Specs, Corporate, Product Tour), Jan. 2004, 16 pages.
Cerulean Studios, "Trillian: Your Freedom to Chat," (Overview, Features, Screenshots, Tech Specs), Jan. 2004, 8 pages.
Danny Sullivan, "What People Search For," Search Engin Watch, 4 pages, (http://searchenginewatch.com/facts/searches.html , visited Feb. 13, 2003).
English translation of an Office Action issued in corresponding Japanese Application No. 2004-570418 on Aug. 7, 2008.
English translation of an Office Action issued in corresponding Japanese Application No. 2004-570418 on Feb. 5, 2009.
European Office Action in Application No. 03 811 631.5-2201, dated Oct. 4, 2006, 4 pages.
Examiner's Answer to Appeal Brief in U.S. Appl. No. 10/715,213, mailed May 27, 2010, 31 pages.
Final Office Action in U.S. Appl. No. 10/715,213 mailed Oct. 22, 2007, 14 pages.
Final Office Action in U.S. Appl. No. 10/715,213, mailed Aug. 6, 2009, 30 pages.
Final Office Action issued in U.S. Appl. No. 11/420,042, Oct. 14, 2009, 22 pages.
Final Office Action issued in U.S. Appl. No. 11/420,042, Sep. 24, 2008, 22 pages.
Final Office Action issued in U.S. Appl. No. 13/099,214, Feb. 25, 2013, 12 pages.
International Search Report in International Application No. PCT/US03/36656, dated Apr. 22, 2004, 8 pages.
Jennifer Lee, "From 100 countries, a Google snapshot of what's going on," International Herald Tribune, Nov. 29, 2002, 3 pages.
Komatsu et al., "Text Input with Dynamic Abbreviation Expansion," IPSJ SIG Notes, vol. 2001, No. 87, Sep. 14, 2008, pp. 133-138, partial English translation.
Midorikawa et al., "Part 2 Build up a Comfortable Search Environment via Customization by Rules," PC Japan, vol. 7, No. 10, pp. 172-176, Nov. 2002.
Morikawa, et al., "Part 2 Build up a Comfortable Search Environment via Customization by Rules," PC Japan, vol. 7, No. 10, pp. 172-176, partial English translation of p. 172.
Mozilla, www.mozilla.org/projects/ml/autocomplete, Mar. 3, 2003, 6 pages.
Non-Final Office Action issued in U.S. Appl. No. 11/420,042, dated Jun. 21, 2010, 9 pages.
Non-Final Office Action issued in U.S. Appl. No. 11/420,042, dated Mar. 17, 2008, 37 pages.
Non-Final Office Action issued in U.S. Appl. No. 11/420,042, dated Mar. 9, 2009, 23 pages.
Non-Final Office Action issued in U.S. Appl. No. 13/099,214, dated Jul. 19, 2012, 17 pages.
Notice of Allowance issued in U.S. Appl. No. 11/420,042, dated Feb. 2, 2011, 7 pages.
Office Action from the Canadian Intellectual Property Office in corresponding Canadian Application No. 2,506,417, dated Aug. 14, 2007, 3 pages.
Office Action in U.S. Appl. No. 10/715,213, mailed Apr. 26, 2007, 15 pages.
Office Action in U.S. Appl. No. 10/715,213, mailed Aug. 7, 2008, 23 pages.
Office Action in U.S. Appl. No. 10/715,213, mailed Feb. 5, 2009, 30 pages.
Office Action in U.S. Appl. No. 10/715,216, mailed Aug. 18, 2009, 33 pages.
Supplementary European Search Report in Application No. EP 03811631, dated Jun. 23, 2006, 3 pages.
U.S. Appl. No. 13/099,214, Feb. 10, 2014, Office Action.
U.S. Appl. No. 13/099,214, Jul. 2, 2014, Notice of Allowance.
U.S. Appl. No. 13/099,214, Jun. 3, 2013, Office Action.
U.S. Appl. No. 13/099,214, Sep. 17, 2013, Office Action.
U.S. Appl. No. 13/618,920, Jan. 13, 2015, Notice of Allowance.
U.S. Appl. No. 13/618,920, Jul. 17, 2013, Office Action.
U.S. Appl. No. 13/618,920, Mar. 24, 2014, Office Action.
U.S. Appl. No. 13/618,920, Nov. 5, 2013, Office Action.
U.S. Appl. No. 13/618,920, Sep. 16, 2014, Office Action.
U.S. Appl. No. 13/801,826, Feb. 28, 2014, Office Action.
U.S. Appl. No. 13/827,553, Apr. 15, 2016, Office Action.
U.S. Appl. No. 13/827,553, Apr. 7, 2015, Office Action.
U.S. Appl. No. 13/827,553, filed Mar. 14, 2013, Mehanna.
U.S. Appl. No. 13/827,553, Nov. 21, 2014, Office Action.
U.S. Appl. No. 13/827,553, Sep. 8, 2015, Office Action.
U.S. Appl. No. 13/827,553, Sep. 8, 2016, Office Action.
U.S. Appl. No. 14/324,746, Apr. 27, 2015, Office Action.
U.S. Appl. No. 14/324,746, dated Mar. 10, 2017, Office Action.
U.S. Appl. No. 14/324,746, filed Jul. 7, 2014, Mehanna.
U.S. Appl. No. 14/324,746, Mar. 17, 2016, Office Action.
U.S. Appl. No. 14/324,746, Nov. 2, 2016, Office Action.
U.S. Appl. No. 14/324,746, Sep. 18, 2015, Office Action.
Yahoo! Buzz Index, Feb. 13, 2003, 1 page, http://buzz/yahoo.com/overall/.
Yahoo! Buzz Index, Nov. 10, 2002, 1 page.
Yahoo! Messenger, "Messenger Help," (4 total pages), Nov. 2002.

Also Published As

Publication number Publication date Type
US8996560B2 (en) 2015-03-31 grant
US20140324903A1 (en) 2014-10-30 application
US20130073579A1 (en) 2013-03-21 application
US20110208768A1 (en) 2011-08-25 application
US7962504B1 (en) 2011-06-14 grant
US20130191382A1 (en) 2013-07-25 application
US8874606B2 (en) 2014-10-28 grant
US20130204870A1 (en) 2013-08-08 application
US20130198160A1 (en) 2013-08-01 application

Similar Documents

Publication Publication Date Title
US7599950B2 (en) Systems and methods for collecting user annotations
US7054875B2 (en) Method and apparatus for notifying a user of new data entered into an electronic system
US6665659B1 (en) Methods and apparatus for distributing and using metadata via the internet
US6581072B1 (en) Techniques for identifying and accessing information of interest to a user in a network environment without compromising the user&#39;s privacy
US20030146939A1 (en) Methods and apparatus for mouse-over preview of contextually relevant information
US20080201304A1 (en) Federated searches implemented across multiple search engines
US20070266342A1 (en) Web notebook tools
US7966309B2 (en) Providing relevance-ordered categories of information
US20080195588A1 (en) Personalized Search Method and System for Enabling the Method
US20010039546A1 (en) System and method for obtaining and storing information for deferred browsing
US20040267961A1 (en) In a World Wide Web communications network simplifying the Uniform Resource Locators (URLS) displayed in association with received web documents
US20070266011A1 (en) Managing and Accessing Data in Web Notebooks
US20060271520A1 (en) Content-based implicit search query
US20050132296A1 (en) Intelligent forward resource navigation
US7552400B1 (en) System and method for navigating within a graphical user interface without using a pointing device
US20070130159A1 (en) Method and system to present video content
US20060112081A1 (en) Storing searches in an e-mail folder
US20010049674A1 (en) Methods and systems for enabling efficient employment recruiting
US20080060013A1 (en) Video channel creation systems and methods
US20110191321A1 (en) Contextual display advertisements for a webpage
US20100131902A1 (en) Navigation assistance for search engines
US20060136391A1 (en) System and method for generating a search index and executing a context-sensitive search
US20050289147A1 (en) News feed viewer
US20100057698A1 (en) System and method for assisting search requests with vertical suggestions
US20050289468A1 (en) News feed browser

Legal Events

Date Code Title Description
AS Assignment

Owner name: AOL INC., VIRGINIA

Free format text: ASSIGNMENT OF ASSIGNORS INTEREST;ASSIGNOR:AOL LLC;REEL/FRAME:031027/0907

Effective date: 20091204

Owner name: AOL LLC, VIRGINIA

Free format text: ASSIGNMENT OF ASSIGNORS INTEREST;ASSIGNOR:MEHANNA, LARA;REEL/FRAME:031027/0863

Effective date: 20060905

Owner name: FACEBOOK, INC., CALIFORNIA

Free format text: ASSIGNMENT OF ASSIGNORS INTEREST;ASSIGNOR:AOL INC.;REEL/FRAME:031028/0017

Effective date: 20120614